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ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning
dc.contributor.author | Urrutia Azcona, Koldo | |
dc.contributor.author | Usobiaga Ferrer, Elena | |
dc.contributor.author | De Agustín Camacho, Pablo | |
dc.contributor.author | Molina Costa, Patricia | |
dc.contributor.author | Benedito Bordonau, Mauricia | |
dc.contributor.author | Flores Abascal, Iván | |
dc.date.accessioned | 2021-01-19T10:43:56Z | |
dc.date.available | 2021-01-19T10:43:56Z | |
dc.date.issued | 2021-01-04 | |
dc.identifier.citation | Sustainability 13(1) : (2021) // Article ID 383 | es_ES |
dc.identifier.issn | 2071-1050 | |
dc.identifier.uri | http://hdl.handle.net/10810/49787 | |
dc.description.abstract | Given the current climate emergency, our planet is suffering. Mitigation measures must be urgently deployed in urban environments, which are responsible for more than 70% of global CO2 emissions. In this sense, a deeper integration between energy and urban planning disciplines is a key factor for effective decarbonisation in urban environments. This is addressed in the Cities4ZERO decarbonisation methodology. This method specifically points out the need for technology-based solutions able to support that integration among both disciplines at a local level, enriching decision-making in urban decarbonisation policy-making, diagnosis, planning, and follow-up tasks, incorporating the spatial dimension to the whole process (GIS-based), as well as the possibilities of the digital era. Accordingly, this paper explores the demands of both integrated urban energy planning and European/Basque energy directives, to set the main requisites and functionalities that Decision Support Systems (DSSs) must fulfil to effectively support city managers and the urban decarbonisation process. | es_ES |
dc.description.sponsorship | This research was funded by European Commission, grant number 691883. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/691883 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject | decarbonisation | es_ES |
dc.subject | urban transformation | es_ES |
dc.subject | cities | es_ES |
dc.subject | decision support system | es_ES |
dc.subject | energy transition | es_ES |
dc.subject | strategic planning | es_ES |
dc.subject | smart cities | es_ES |
dc.subject | smart zero carbon city | es_ES |
dc.subject | digital innovation | es_ES |
dc.title | ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2021-01-08T14:44:41Z | |
dc.rights.holder | 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2071-1050/13/1/383/html | es_ES |
dc.identifier.doi | 10.3390/su13010383 | |
dc.contributor.funder | European Commission | |
dc.departamentoes | Máquinas y motores térmicos | |
dc.departamentoeu | Makina eta motor termikoak |
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Excepto si se señala otra cosa, la licencia del ítem se describe como 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).